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Establishment And Application Of Preoerative Nomogram For Hepatocellular Carcinoma With Microvascular Invasion

Posted on:2020-05-16Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y LiangFull Text:PDF
GTID:2404330575462731Subject:Surgery
Abstract/Summary:PDF Full Text Request
Objective: To establish a preoperative nomogram model for predicting microvascular invasion in hepatocellular carcinoma.Methods: Clinical data of 798 patients with HCC who underwent radical hepatectomy in Guangxi Medical University Affiliated Tumor Hosital between January 1,2014 and December 31,2017 were retrospectively analyzed.The patients were divided into model establishment group and validation group according to the sequence of operation time.The Independent risk factors of MVI were were identified Logistic regression analysis,and the nomogram model was established to according to independent risk factors.The accuracy of nomogram model for predicting MVI was respectively detected in two groups by computer consistency coefficient(C-index)and calibration graph method.Results: Histopathological diagnosis revealed 278(48.01%)cases MVI and No MVI 219(51.99%)cases of HCC in 579 patients in the model group.In the validation group,there were 119(54.34%)cases of MVI and 100(45.66%)cases of HCC in 219 patients.Preoperative factors used to establish the column diagram of the two groups include: tumor maximum diameter(OR=1.109,95%CI: 1.036-1.118;P=0.003),alpha-fetoprotein(OR=2.028,95%CI: 1.421-2.894;P<0.001),fibrinogen(OR=1.610,95%CI: 1.081-2.400;P=0.03),neutrophil-to-lymphocyte ratio(OR=1.458,95%CI: 1.008-2.108;P=0.045).After the estab-lishment of nomogram model,the C-index was respectively 0.689 and 0.727 in the model establishment group and validation group.In the calibration graph,the standard curve was properly fit with the predicting calibrationcurve,suggesting that the model consistency was fine.Conclusions: The nomogram model for predicting MVI in patients with HCC is successfully established.And the model offers certain guiding significance for clinical treatment of HCC.
Keywords/Search Tags:Carcinoma, hepatocellular, Microvascular invasion, Nomogram, Risk factors
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